4 citations · 5 across the 2 of their papers we have counts for
5 papers
Developing Acoustic Models for Automatic Speech Recognition in Swedish
Giampiero Salvi
This paper is concerned with automatic continuous speech recognition using trainable systems. The aim of this work is to build acoustic models for spoken Swedish. This is done empl…
Dynamic Behaviour of Connectionist Speech Recognition with Strong Latency Constraints
Giampiero Salvi
This paper describes the use of connectionist techniques in phonetic speech recognition with strong latency constraints. The constraints are imposed by the task of deriving the lip…
Segment Boundary Detection via Class Entropy Measurements in Connectionist Phoneme Recognition
Giampiero Salvi
This article investigates the possibility to use the class entropy of the output of a connectionist phoneme recogniser to predict time boundaries between phonetic classes. The rati…
Hierarchical Residual Learning Based Vector Quantized Variational Autoencoder for Image Reconstruction and Generation
Mohammad Adiban, Kalin Stefanov, Sabato Marco Siniscalchi +1
We propose a multi-layer variational autoencoder method, we call HR-VQVAE, that learns hierarchical discrete representations of the data. By utilizing a novel objective function, e…
Semi-supervised Learning with Sparse Autoencoders in Phone Classification
Akash Kumar Dhaka, Giampiero Salvi
We propose the application of a semi-supervised learning method to improve the performance of acoustic modelling for automatic speech recognition based on deep neural net- works. A…